scholarly journals Design of evaluation tool used to improve the production process

2019 ◽  
Vol 9 (1) ◽  
pp. 641-649
Author(s):  
Hlatká Martina ◽  
Korec Karel ◽  
Kampf Rudolf
Keyword(s):  
Production Process ◽  
Visual Basic ◽  
Process Capability Indices ◽  
Evaluation Tool ◽  
Statistical Parameters ◽  
Important Data ◽  
Statistical Process ◽  
Capability Indices ◽  
Application Programming ◽  
Visual Basic For Application

AbstractThis paper is devoted to the use of statistical methods to ensure the highest quality processes. Specifically, it deals with creating an application in MS Excel which evaluates standard statistical parameters and if the required process capability indices are complied with, then it is possible to proceed to SPC (statistical process control). The application was created in MS Excel using the Visual Basic for Application programming language. In addition to the required calculations, the application also generates forms with all important data. This application was designed to reduce reject rate and improve the production process in a contracting company.

The Study of Relationship between Multivariate Capability Indices and Sampling Number

2015 ◽  
Vol 713-715 ◽  
pp. 362-368
Author(s):  
Qi Yuan An ◽  
Shao Xi Wang
Keyword(s):  
High Reliability ◽  
Process Capability ◽  
Process Capability Indices ◽  
Statistical Process ◽  
Multivariate Process ◽  
Sample Number ◽  
Capability Indices ◽  
Calculation Results ◽  
Important Means ◽  
The Impact

ultivariate process capability indices (MPCI), as an important means of statistical process control (SPC), can be used to ensure the high reliability of semiconductors manufacturing process. However, the reasonable sampling number is an important factor when considering MPCI values. As general, the large sample number requires much effort and time, or even cannot be achieved. In this paper, we evaluated the impact of different sample size on the calculations of multivariate process capability indices using simulation and analyses. After getting enough data and choosing disparate sample numbers, corresponding multivariate process capability indices can be obtained, which demonstrate the relationship between sampling numbers and calculation results. The conclusions have critical guiding significance for manufacturing semiconductors with high reliability requirement.

Predict and Assure the Matchable Degree in Selective Assembly via PCI-based Tolerance

1999 ◽  
Vol 121 (3) ◽  
pp. 494-500 ◽  
Author(s):  
Yu Zhang ◽  
X. Daniel Fang
Keyword(s):  
Diesel Engine ◽  
Process Model ◽  
Process Capability Indices ◽  
Manufacturing Processes ◽  
Process Performance ◽  
Selective Assembly ◽  
Statistical Process ◽  
Quality Requirements ◽  
Capability Indices

Selective assembly is a method to achieve high precision fit using low precision parts. The current practices in selective assembly lack a physical process model to guide the design and process of mating parts, consequently, selective assembly is often a nightmare for manufacturing people and historically an event to be avoided. Process capability indices (PCIs) are the widely accepted process parameters, functioning as a measure of process performance, such as process centering, process spread, process bias, etc. In this paper, the concept of PCI-based tolerance is proposed as an interface between quality requirements and statistical process control (SPC) parameters. An analytical model involving PCI-based tolerance is developed to predict and assure the matchable degree in selective assembly. A detailed case study of the fit of dry liners and cylinder blocks in a diesel engine is presented. As matchable degree and other process quality requirements can be assured at the stage of design by introducing PCI-based tolerance, the process of selective assembly can be improved significantly as an effective way to achieve precision assembly with economical manufacturing processes.

scholarly journals Appennino: A GIS Tool for Analyzing Wildlife Habitat Use

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Marco Ferretti ◽  
Marco Foi ◽  
Gisella Paci ◽  
Walter Tosi ◽  
Marco Bagliacca
Keyword(s):  
Habitat Use ◽  
Programming Language ◽  
Compositional Analysis ◽  
Visual Basic ◽  
Wildlife Habitat ◽  
Considerable Reduction ◽  
Land Uses ◽  
Statistical Software ◽  
Application Programming ◽  
Visual Basic For Application

The aim of the study was to test Appennino, a tool used to evaluate the habitats of animals through compositional analysis. This free tool calculates an animal’s habitat use within the GIS platform for ArcGIS and saves and exports the results of the comparative land uses to other statistical software. Visual Basic for Application programming language was employed to prepare the ESRI ArcGIS 9.x utility. The tool was tested on a dataset of 546 pheasant positions obtained from a study carried out in Tuscany (Italy). The tool automatically gave the same results as the results obtained by calculating the surfaces in ESRI ArcGIS, exporting the data from the ArcGIS, then using a commercial spreadsheet and/or statistical software to calculate the animal’s habitat use with a considerable reduction in time.

The Use of Capability Indices in Process Evaluation of Ceramic Materials

2006 ◽  
Vol 45 ◽  
pp. 578-583
Author(s):  
S. Papargyri ◽  
D.N. Tsipas ◽  
A. Botis ◽  
A. Papargyris
Keyword(s):  
Process Evaluation ◽  
Bending Strength ◽  
Slip Casting ◽  
Ceramic Materials ◽  
Process Capability Indices ◽  
Statistical Control ◽  
Statistical Process ◽  
Three Point Bending ◽  
Acceptable Quality ◽  
Capability Indices

In order to manufacture products of acceptable quality within predetermined specification limits, an evaluation of the manufacturing process through the use of capability indices is necessary. Capability indices are used in order to evaluate a process and to monitor the product characteristics and the results of quality improvement cycles. The three point bending strength of kaolin ceramic specimens produced by two different production processes (slip casting and hydroplastic extrusion) were investigated. It was found that under statistical control and normal distribution of strength values, the process capability indices Cp, Cpk, regardless of any disadvantages and the fact that they have limitations, can be combined with other techniques in the field of statistical process control and become valuable tools in process evaluation of ceramic products.

scholarly journals Hydropower Computation Using Visual Basic for Application Programming

2012 ◽  
Vol 24 ◽  
pp. 37-43
Author(s):  
Wang Yan ◽  
Hu Hongliang
Keyword(s):  
Visual Basic ◽  
Application Programming ◽  
Visual Basic For Application

Comparison of the performance of two grades of metformin hydrochloride elaboration by means of the SeDeM system, compressibility, compactability, and process capability indices

2021 ◽  
pp. 1-14
Author(s):  
Oswaldo Castañeda Hernández ◽  
Isidoro Caraballo Rodríguez ◽  
María Josefa Bernad Bernad ◽  
Luz María Melgoza Contreras
Keyword(s):  
Process Capability ◽  
Process Capability Indices ◽  
Metformin Hydrochloride ◽  
Capability Indices

Developing New Multivariate Process Capability Indices for Autocorrelated Data

2013 ◽  
Vol 31 (3) ◽  
pp. 431-444 ◽  
Author(s):  
Jeh-Nan Pan ◽  
Wendy K. C. Huang
Keyword(s):  
Process Capability ◽  
Process Capability Indices ◽  
Multivariate Process ◽  
Capability Indices ◽  
Autocorrelated Data
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